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451 ! Wed, 8/1/2012, 8:30 AM - 10:20 AM CC-Room 30D
Next-Generation Matrix Decompositions: Methods and Applications — Topic Contributed Papers
Section on Statistical Learning and Data Mining , Section on Statistical Computing , International Indian Statistical Association , Statistics Surveys Online Journal
Organizer(s): Eric F Lock, The University of North Carolina at Chapel Hill, Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
Chair(s): Ani Eloyan, Johns Hopkins Bloomberg School of Public Health
8:35 AM Low-Rank Modeling Across Multiple High-Dimensional Data Sets Eric F Lock, The University of North Carolina at Chapel Hill
8:55 AM Longitudinal Functional Regression Models with Structured Penalties Jaroslaw Harezlak, Indiana University School of Medicine ; Madan Gopal Kundu, Indiana University School of Medicine ; Timothy W. Randolph, Fred Hutchinson Cancer Research Center
9:15 AM Reconstruction of a Low-Rank Matrix in the Presence of Gaussian Noise Andrey Shabalin, The University of North Carolina at Chapel Hill ; Andrew B Nobel, The University of North Carolina at Chapel Hill
9:35 AM Robust and Compressive Matrix Decompositions John Wright
9:55 AM Floor Discussion



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